encord - Senior Growth Manager
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Requirements
• You're structured and precise in how you think about markets — you know how to map a landscape, identify where to focus, and build programs that convert that focus into pipeline • You're energised by in-person relationship building — conferences, roundtables, and industry events are where you do some of your best work • You're quick to pick up new tools and workflows — you're already using AI to work faster and smarter, and you're curious about where it goes next • You can engage credibly on technical topics — ML infrastructure, compute orchestration, model evaluation, and developer tooling are areas you're motivated to go deep on • You've managed or led small teams and know how to get the best out of people while keeping programs moving • 3+ years in B2B growth, strategy, finance, or a commercially rigorous field — with a track record of owning outcomes, not just workstreams • Direct experience in or exposure to the ML Ops, Data Ops, or AI infrastructure space, or adjacent areas such as model evaluation, robotics, physical AI, or autonomy • Experience building and executing demand generation, field event, or co-marketing programs in a B2B environment • Familiarity with AI-driven intent and signal tools (e.g. 6sense, Bombora, Clay) and how they integrate into a GTM motion
Responsibilities
• Lead and develop your team — setting clear priorities, unblocking people, and maintaining a high bar for output across all growth programs • Own pipeline strategy for target enterprise accounts — coordinating content, campaigns, outreach, and in-person touchpoints to drive qualified opportunities in partnership with Sales and SDRs • Deploy AI agents to monitor account-level signals, identifying when target accounts are moving from cold to warm and surfacing the right moment for Sales to engage • Use AI-driven intent tools at the contact level to flag high-intent prospects, inform personalisation, and help Sales prioritise outreach across an account • Build and own our conference and field event strategy — identifying the right moments in the ML Ops, Data Ops, and AI infrastructure calendar, activating target accounts before and after events, and converting in-person presence into pipeline • Develop co-marketing programs with technology partners across the ML Ops and AI infrastructure ecosystem, turning integrations and shared customers into joint campaigns and warm introductions into target accounts • Work closely with AEs and Sales leadership to ensure Sales receives well-qualified, well-timed opportunities • Manage lead routing, enrichment, and nurture tracks to reduce friction across enterprise buyer journeys
Benefits
• Competitive salary, commission, and equity in a high-growth start-up • Strong in-person culture - most of the team works from our London office 4+ days/week • 25 days annual leave + UK public holidays • Annual learning & development budget • Travel for customer visits, events, and conferences across the UK and Europe • Company lunches twice a week • Monthly socials & bi-annual team offsites
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